Triple
T15910448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post–Newsweek Stations |
E385833
|
entity |
| Predicate | ownedStation |
P53258
|
FINISHED |
| Object |
KPRC-TV
KPRC-TV is a major NBC-affiliated television station serving the Houston, Texas market.
|
E1183771
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KPRC-TV | Statement: [Post–Newsweek Stations, ownedStation, KPRC-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPRC-TV Context triple: [Post–Newsweek Stations, ownedStation, KPRC-TV]
-
A.
KHOU-TV
KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
-
B.
KRLD-TV
KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
-
C.
KTRK-TV
KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
-
D.
KTRK
KTRK is the ICAO airport code for Truckee Tahoe Airport, a public general aviation airport serving the Truckee and Lake Tahoe region in California.
-
E.
KOMU-TV
KOMU-TV is a mid-Missouri television station uniquely serving as both a commercial NBC affiliate and a hands-on teaching laboratory for students of the Missouri School of Journalism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KPRC-TV Triple: [Post–Newsweek Stations, ownedStation, KPRC-TV]
Generated description
KPRC-TV is a major NBC-affiliated television station serving the Houston, Texas market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KPRC-TV Target entity description: KPRC-TV is a major NBC-affiliated television station serving the Houston, Texas market.
-
A.
KHOU-TV
KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
-
B.
KRLD-TV
KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
-
C.
KTRK-TV
KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
-
D.
KTRK
KTRK is the ICAO airport code for Truckee Tahoe Airport, a public general aviation airport serving the Truckee and Lake Tahoe region in California.
-
E.
KOMU-TV
KOMU-TV is a mid-Missouri television station uniquely serving as both a commercial NBC affiliate and a hands-on teaching laboratory for students of the Missouri School of Journalism.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.